Automatic speaker recognition systems have been largely dominated by acoustic-spectral-based systems, relying in proper modelling of the short-term vocal tract of speakers. However, there is scientific and intuitive evidence that speaker-specific information is embedded in the speech signal in multiple short- and long-term characteristics. In this work, a multilevel speaker recognition system combining acoustic, phonotactic, and prosodic subsystems is presented and assessed by blind submission to NIST 2005 Speaker Recognition Evaluation
Speaker Recognition The A TVS-UAM System at NIST SRE 05
IEEE Aerospace and Electronic Systems Magazine ; 22 , 1 ; 15-21
2007-01-01
4468045 byte
Article (Journal)
Electronic Resource
English
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